Streamlit
1 Introduction to Streamlit
1.1 What is Streamlit?
1.2 Why use Streamlit?
1.3 Setting up the environment
1.4 Creating your first Streamlit app
2 Basic Components
2.1 Text elements
2.1 1 Displaying text
2.1 2 Formatting text
2.2 Data display elements
2.2 1 Displaying data frames
2.2 2 Displaying tables
2.3 Input widgets
2.3 1 Text input
2.3 2 Number input
2.3 3 Date input
2.3 4 Dropdown selection
2.3 5 Slider
2.3 6 Checkbox
2.3 7 Radio buttons
2.3 8 Buttons
3 Advanced Components
3.1 Interactive widgets
3.1 1 Multiselect
3.1 2 File uploader
3.1 3 Color picker
3.2 Media elements
3.2 1 Displaying images
3.2 2 Displaying videos
3.2 3 Displaying audio
3.3 Chart elements
3.3 1 Line chart
3.3 2 Bar chart
3.3 3 Area chart
3.3 4 Scatter chart
3.3 5 Map chart
4 Layout and Styling
4.1 Layout components
4.1 1 Columns
4.1 2 Tabs
4.1 3 Expander
4.2 Styling elements
4.2 1 Custom CSS
4.2 2 Theming
4.2 3 Adding custom fonts
5 State Management
5.1 Session state
5.1 1 Managing state across reruns
5.1 2 Persisting state
5.2 Caching
5.2 1 Caching functions
5.2 2 Caching data
6 Deployment
6.1 Deploying to Streamlit Sharing
6.1 1 Setting up Streamlit Sharing
6.1 2 Deploying your app
6.2 Deploying to other platforms
6.2 1 Deploying to Heroku
6.2 2 Deploying to AWS
6.2 3 Deploying to Google Cloud
7 Best Practices
7.1 Writing clean and maintainable code
7.2 Optimizing performance
7.3 Handling errors and exceptions
7.4 Version control with Git
8 Advanced Topics
8.1 Integrating with other libraries
8.1 1 Integrating with Pandas
8.1 2 Integrating with Plotly
8.1 3 Integrating with TensorFlow
8.2 Building complex apps
8.2 1 Creating multi-page apps
8.2 2 Handling authentication
8.2 3 Building interactive dashboards
8.3 Custom components
8.3 1 Creating custom widgets
8.3 2 Extending Streamlit with custom components
9 Case Studies
9.1 Building a data exploration app
9.2 Building a machine learning model deployment app
9.3 Building a real-time data visualization app
3 2 1 Displaying Images Explained

2 1 Displaying Images Explained

Key Concepts

st.image

st.image is a Streamlit function used to display images in your application. This function can load images from local files or URLs and display them within the app.

Image Source

The image source can be a local file path or a URL. When using a local file, ensure that the file is accessible within the project directory. For URLs, provide the full web address of the image.

Caption

The caption is an optional text that appears below the image. It can be used to provide additional context or information about the image.

Width

The width parameter allows you to control the size of the displayed image. By specifying a width, you can ensure that the image fits well within the layout of your application.

Examples

Example 1: Displaying a Local Image

import streamlit as st

st.image("local_image.jpg", caption="A local image")
    

Example 2: Displaying an Image from a URL

import streamlit as st

st.image("https://example.com/image.jpg", caption="An image from a URL")
    

Example 3: Controlling Image Width

import streamlit as st

st.image("local_image.jpg", caption="A local image with controlled width", width=300)
    

Analogies

Think of st.image as a digital picture frame in your Streamlit app. The image source is like the photo you place in the frame, the caption is like the description written on the back of the photo, and the width is like adjusting the size of the frame to fit the photo perfectly.